LiteParse：4ms解析200页文档的文本解析器，支持50+格式

它比现有其他开源解析器准确率更高，支持 50 多种文档格式。用户可通过一行命令在 Claude Cowork/Code 或 Codex 中安装为其默认解析器。

LiteParse 内置复杂度路由器，遇到复杂页面会自动路由到 OCR/VLM。

A downside with VLM-based parsing is that they’re generally slower than text-based heuristic approaches. As a result they add latency to any ad-hoc file processing *in-the agent loop* (e.g. if you upload a file to Claude) We built LiteParse to be a really good text-based, heuristic extractor so that you can use it as the default parser in the agent loop. It takes 4ms to parse 200 pages ⚡️, is more accurate than other OSS parsers, and you can install it within Claude Cowork/Code or Codex in one-line with our agent skill. It also supports 50+ different doc formats and has a native complexity router so you can route it to OCR/VLMs for any complex pages Come check it out! Repo: github.com/run-llama/lite…📊 3 ⚡

This report is categorized under AITOP's "Products" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include LiteParse, Claude, Codex, 文档解析.

Source attribution: curated from Jerry Liu (@jerryjliu0).